GAIKER combines AI and advanced spectroscopy to improve the automatic classification of complex plastic waste
The INTESCOP project will improve plastic waste separation processes to obtain high-quality recovered fractions and promote the circularity of post-consumer plastics
The GAIKER Technology Centre is carrying out the INTESCOP project on the circular economy applied to complex plastic waste based on intelligent identification using innovative spectroscopic analysis techniques.
With the aim of advancing the development of new real-time identification technologies that enable highly efficient separation of plastic waste according to its polymeric nature, this industrial research project has been launched to respond to the technological challenges of plastic waste separation identified by the eco-industry.
INTESCOP will work for two years (2025-2027) on generating a technological knowledge base that will enable progress in the design and development of new automatic classification systems for complex plastic waste based on the combination of artificial intelligence with advanced spectroscopic analysis techniques: hyperspectral imaging and terahertz spectroscopy.
GAIKER is an expert in recycling technologies and in the development and evaluation of waste conditioning and recovery processes for subsequent use as secondary raw materials. Therefore, in this research, it will be responsible for developing and evaluating, through laboratory pilot studies, models based on artificial intelligence that will be applied to the automatic identification and classification of multilayer and biodegradable plastics contained in the light packaging waste stream, and technical plastics in the waste electrical and electronic equipment stream, based on the analysis of their respective spectral fingerprints.
